Editorial course preview
What the public course preview actually shows
These 4 complementary views highlight concrete, legible examples from the course presentation.
This diagram maps database technologies into a four-quadrant grid based on transactional versus analytical use cases and standalone versus embedded deployment models.
This architecture diagram illustrates how DuckDB integrates with various data sources like S3 and RDBMS, while supporting multiple programming interfaces including Python, R, and Node.js.
This screenshot displays a code editor environment featuring a project directory structure with data files and terminal commands for running dbt models and tests.
This slide outlines the course curriculum, covering key topics such as DuckDB theory, configuration, CLI usage, SQL innovations, Python integration, and data engineering tools.
